A unified framework for PCA, LDA, and LPP

Xia Qing

doi:10.1117/12.945973

1 June 2012 A unified framework for PCA, LDA, and LPP

Xia Qing

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833406 (2012) https://doi.org/10.1117/12.945973
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

PCA, LDA and LPP are the three most representative subspace face recognition approaches. In this paper, we show that they can be unified under the same framework. A unified framework is constructed by using the graphic embedding. We develop a unified framework to study the three major subspace face recognition methods: PCA, LDA, and LPP. PCA is an evaluation benchmark for face recognition. Both LDA and LPP have achieved superior performance in the YALE face database. A unified framework on the three methods will greatly help to understand the family of subspace methods for further improvement.

Citation Download Citation

Xia Qing "A unified framework for PCA, LDA, and LPP", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833406 (1 June 2012); https://doi.org/10.1117/12.945973

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